model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2') embeddings = model.encode(sentences) print(embeddings) Usage (HuggingFace Transformers) Withoutsentence-transformers, you can use the model like this: First, you pass your input through the transformer model, then ...
We incrementally built monolingual models with Arabic, English, and Urdu and multilingual models with all 22 languages supported by the multilingual paraphrase-MiniLM-L12-v2 model. Our results show improvement in classification accuracy with the incorporation of multilingual QurSim....
精准反馈,高效沟通 我知道了查看详情 Watch 1Star0 zdk/paraphrase-multilingual-MiniLM-L12-v2 代码Issues0Pull Requests0Wiki流水线 服务 质量分析 Jenkins for Gitee 腾讯云托管 腾讯云 Serverless 悬镜安全 阿里云 SAE Codeblitz 我知道了,不再自动展开
main BranchesTags Code README Apache-2.0 license MINERS : Multilingual Language Models as Semantic Retrievers ⚡ Introducing theMINERS benchmark, designed to assess the multilingual LMs' prowess in semantic retrieval tasks, including bitext mining and classification through retrieval-augmented contextswitho...
感性**作祟上传420.9MB文件格式ziptransformers语义搜索神经网络模型本地加载nlp 这是一个句子转换器模型,它将句子和段落映射到 384 维密集向量空间,可用于聚类或语义搜索等任务,是 sentence_transformers 库的模型之一,官网下载速度缓慢,容易被墙,下载解压后,可以参考此文章进行模型本地加载 https://blog./weixin_43721...
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